


import collections
import json
import os
import re
from typing import TYPE_CHECKING, List, Optional, Tuple

import numpy as np

from ...tokenization_utils_fast import PreTrainedTokenizer
from ...utils import logging


if TYPE_CHECKING:
    from transformers.pipelines.conversational import Conversation


a_ :Tuple  							=			logging.get_logger(__name__)

a_ :Dict  							=			{'vocab_file': 'vocab.txt', 'emoji_file': 'emoji.json'}

a_ :Dict  							=			{
    'vocab_file': {
        'abeja/gpt-neox-japanese-2.7b': 'https://huggingface.co/abeja/gpt-neox-japanese-2.7b/resolve/main/vocab.txt',
    },
    'emoji_file': {
        'abeja/gpt-neox-japanese-2.7b': 'https://huggingface.co/abeja/gpt-neox-japanese-2.7b/resolve/main/emoji.json',
    },
}

a_ :Dict  							=			{
    'abeja/gpt-neox-japanese-2.7b': 20_48,
}




def    a   (							A__      ,    A__							)	-> str:




      '''simple docstring'''

      with open(A__      ,    '''r'''      ,    encoding='''utf-8'''							) as f:
            SCREAMING_SNAKE_CASE__       :  str						     =		json.loads(f.read()							)

      SCREAMING_SNAKE_CASE__       :  str						     =		collections.OrderedDict()
      SCREAMING_SNAKE_CASE__       :  str						     =		collections.OrderedDict()
      SCREAMING_SNAKE_CASE__       :  str						     =		collections.OrderedDict()
      with open(A__      ,    '''r'''      ,    encoding='''utf-8'''							) as f:
            SCREAMING_SNAKE_CASE__       :  int						     =		f.readlines()
      SCREAMING_SNAKE_CASE__       :  str						     =		[[t.rstrip('''\n'''							)] if (t == ''',''' or ''',''' not in t) else t.rstrip('''\n'''							).split(''','''							) for t in token]
      for idx, b in enumerate(A__							):
            SCREAMING_SNAKE_CASE__       :  List[Any]						     =		b
            SCREAMING_SNAKE_CASE__       :  str						     =		idx
            for wd in b:
                  SCREAMING_SNAKE_CASE__       :  List[str]						     =		idx

      return vocab, raw_vocab, ids_to_tokens, emoji

class 							lowercase  (						_UpperCAmelCase			):
     lowerCamelCase			:			List[str]      = VOCAB_FILES_NAMES
     lowerCamelCase			:			Union[str, Any]      = PRETRAINED_VOCAB_FILES_MAP
     lowerCamelCase			:			List[Any]      = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     lowerCamelCase			:			int      = ['''input_ids''', '''attention_mask''']







     def __init__(						self :						str   ,   _lowercase :						Dict   ,   _lowercase :						Optional[Any]   ,   _lowercase :						Union[str, Any]="<|endoftext|>"   ,   _lowercase :						Optional[int]="<|endoftext|>"   ,   _lowercase :						Optional[Any]="<|startoftext|>"   ,   _lowercase :						Any="<|endoftext|>"   ,   _lowercase :						Optional[int]=False   ,   **_lowercase :						Optional[Any]   ,   ):
           super().__init__(
               unk_token=_lowercase   ,   pad_token=_lowercase   ,   bos_token=_lowercase   ,   eos_token=_lowercase   ,   do_clean_text=_lowercase   ,   **_lowercase   ,   )
           if not os.path.isfile(_lowercase      ):
                 raise ValueError(
                     f"""Can't find a vocabulary file at path '{vocab_file}'. To load the vocabulary from a Google pretrained"""
                     ''' model use `tokenizer = GPTNeoXJapaneseokenizer.from_pretrained(PRETRAINED_MODEL_NAME)`'''      )
           if not os.path.isfile(_lowercase      ):
                 raise ValueError(
                     f"""Can't find a emoji file at path '{emoji_file}'. To load the emoji information from a Google"""
                     ''' pretrained model use `tokenizer = GPTNeoXJapaneseokenizer.from_pretrained(PRETRAINED_MODEL_NAME)`'''      )
           SCREAMING_SNAKE_CASE__       :  str						     =		do_clean_text
           SCREAMING_SNAKE_CASE__     ,       SCREAMING_SNAKE_CASE__     ,       SCREAMING_SNAKE_CASE__     ,       SCREAMING_SNAKE_CASE__       :  Union[str, Any]						     =		load_vocab_and_emoji(_lowercase   ,   _lowercase      )
           SCREAMING_SNAKE_CASE__       :  Optional[Any]						     =		SubWordJapaneseTokenizer(
               vocab=self.vocab   ,   ids_to_tokens=self.ids_to_tokens   ,   emoji=self.emoji      )







     @property
     def 							lowercase__       (						self :						Optional[Any]      ):
           # self.vocab contains support for character fluctuation unique to Japanese, and has a large number of vocab
           return len(self.raw_vocab      )







     def 							lowercase__       (						self :						Optional[int]      ):
           return dict(self.raw_vocab   ,   **self.added_tokens_encoder      )







     def 							lowercase__       (						self :						List[Any]   ,   _lowercase :						Dict      ):
           return self.subword_tokenizer.tokenize(_lowercase   ,   clean=self.do_clean_text      )







     def 							lowercase__       (						self :						List[str]   ,   _lowercase :						List[Any]      ):
           return self.vocab.get(_lowercase   ,   self.vocab.get(self.unk_token      )      )







     def 							lowercase__       (						self :						str   ,   _lowercase :						int      ):
           return self.subword_tokenizer.convert_id_to_token(_lowercase      )







     def 							lowercase__       (						self :						Union[str, Any]   ,   _lowercase :						Any      ):
           SCREAMING_SNAKE_CASE__       :  Optional[int]						     =		''''''.join(_lowercase      ).strip()
           return out_string







     def 							lowercase__       (						self :						Dict   ,   _lowercase :						"Conversation"      ):
           SCREAMING_SNAKE_CASE__       :  Tuple						     =		[]
           for is_user, text in conversation.iter_texts():
                 input_ids.extend(self.encode(_lowercase   ,   add_special_tokens=_lowercase      ) + [self.eos_token_id]      )

           if len(_lowercase      ) > self.model_max_length:
                 SCREAMING_SNAKE_CASE__       :  List[str]						     =		input_ids[-self.model_max_length :]
           return input_ids







     def 							lowercase__       (						self :						str   ,   _lowercase :						str   ,   _lowercase :						Optional[str] = None      ):
           SCREAMING_SNAKE_CASE__       :  List[Any]						     =		0
           if os.path.isdir(_lowercase      ):
                 SCREAMING_SNAKE_CASE__       :  Union[str, Any]						     =		os.path.join(
                     _lowercase   ,   (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']      )
                 SCREAMING_SNAKE_CASE__       :  Optional[Any]						     =		os.path.join(
                     _lowercase   ,   (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''emoji_file''']      )
           else:
                 SCREAMING_SNAKE_CASE__       :  Tuple						     =		(
                     (filename_prefix + '''-''' if filename_prefix else '''''') + save_directory + VOCAB_FILES_NAMES['''vocab_file''']
                 )
                 SCREAMING_SNAKE_CASE__       :  Union[str, Any]						     =		(
                     (filename_prefix + '''-''' if filename_prefix else '''''') + save_directory + VOCAB_FILES_NAMES['''emoji_file''']
                 )
           with open(_lowercase   ,   '''w'''   ,   encoding='''utf-8'''      ) as writer:
                 for token_index, token in self.ids_to_tokens.items():
                       if index != token_index:
                             logger.warning(
                                 f"""Saving vocabulary to {vocab_file}: vocabulary indices are not consecutive."""
                                 ''' Please check that the vocabulary is not corrupted!'''      )
                             SCREAMING_SNAKE_CASE__       :  List[str]						     =		token_index
                       writer.write(''','''.join(_lowercase      ) + '''\n'''      )
                       index += 1
           with open(_lowercase   ,   '''w'''   ,   encoding='''utf-8'''      ) as writer:
                 json.dump(self.emoji   ,   _lowercase      )
           return vocab_file, emoji_file




class 							lowercase  (						_UpperCAmelCase			):







     def __init__(						self :						Optional[int]   ,   _lowercase :						Optional[int]   ,   _lowercase :						int   ,   _lowercase :						Dict      ):
           SCREAMING_SNAKE_CASE__       :  Any						     =		vocab  # same as swe
           SCREAMING_SNAKE_CASE__       :  Union[str, Any]						     =		ids_to_tokens  # same as bpe
           SCREAMING_SNAKE_CASE__       :  List[str]						     =		emoji
           SCREAMING_SNAKE_CASE__       :  List[str]						     =		np.max([len(_lowercase      ) for w in self.vocab.keys()]      )
           SCREAMING_SNAKE_CASE__       :  List[Any]						     =		re.compile(R'''(https?|ftp)(:\/\/[-_\.!~*\'()a-zA-Z0-9;\/?:\@&=\+$,%#]+)'''      )
           SCREAMING_SNAKE_CASE__       :  Optional[int]						     =		re.compile(R'''[A-Za-z0-9\._+]*@[\-_0-9A-Za-z]+(\.[A-Za-z]+)*'''      )
           SCREAMING_SNAKE_CASE__       :  str						     =		re.compile(R'''[\(]{0,1}[0-9]{2,4}[\)\-\(]{0,1}[0-9]{2,4}[\)\-]{0,1}[0-9]{3,4}'''      )
           SCREAMING_SNAKE_CASE__       :  Union[str, Any]						     =		re.compile(
               R'''([12]\d{3}[/\-年])*(0?[1-9]|1[0-2])[/\-月]((0?[1-9]|[12][0-9]|3[01])日?)*(\d{1,2}|:|\d{1,2}時|\d{1,2}分|\(日\)|\(月\)|\(火\)|\(水\)|\(木\)|\(金\)|\(土\)|㈰|㈪|㈫|㈬|㈭|㈮|㈯)*'''      )
           SCREAMING_SNAKE_CASE__       :  Tuple						     =		re.compile(
               R'''(明治|大正|昭和|平成|令和|㍾|㍽|㍼|㍻|\u32ff)\d{1,2}年(0?[1-9]|1[0-2])月(0?[1-9]|[12][0-9]|3[01])日(\d{1,2}|:|\d{1,2}時|\d{1,2}分|\(日\)|\(月\)|\(火\)|\(水\)|\(木\)|\(金\)|\(土\)|㈰|㈪|㈫|㈬|㈭|㈮|㈯)*'''      )
           SCREAMING_SNAKE_CASE__       :  List[Any]						     =		re.compile(
               R'''((0|[1-9]\d*|[1-9]\d{0,2}(,\d{3})+)*億)*((0|[1-9]\d*|[1-9]\d{0,2}(,\d{3})+)*万)*((0|[1-9]\d*|[1-9]\d{0,2}(,\d{3})+)*千)*(0|[1-9]\d*|[1-9]\d{0,2}(,\d{3})+)*(千円|万円|千万円|円|千ドル|万ドル|千万ドル|ドル|千ユーロ|万ユーロ|千万ユーロ|ユーロ)+(\(税込\)|\(税抜\)|\+tax)*'''      )
           SCREAMING_SNAKE_CASE__       :  List[str]						     =		'''─━│┃┄┅┆┇┈┉┊┋┌┍┎┏┐┑┒┓└┕┖┗┘┙┚┛├┝┞┟┠┡┢┣┤┥┦┧┨┩┪┫┬┭┮┯┰┱┲┳┴┵┶┷┸┹┺┻┼┽┾┿╀╁╂╃╄╅╆╇╈╉╊╋╌╍╎╏═║╒╓╔╕╖╗╘╙╚╛╜╝╞╟╠╡╢╣╤╥╦╧╨╩╪╫╬╭╮╯╰╱╲╳╴╵╶╷╸╹╺╻╼╽╾╿'''
           SCREAMING_SNAKE_CASE__       :  Union[str, Any]						     =		'''▀▁▂▃▄▅▆▇█▉▊▋▌▍▎▏▐░▒▓▔▕▖▗▘▙▚▛▜▝▞▟'''
           SCREAMING_SNAKE_CASE__       :  Any						     =		str.maketrans({k: '''<BLOCK>''' for k in keisen + blocks}      )







     def __len__(						self :						List[str]      ):
           return len(self.ids_to_tokens      )







     def 							lowercase__       (						self :						Any   ,   _lowercase :						int      ):
           SCREAMING_SNAKE_CASE__       :  Dict						     =		self.content_repattera.sub('''<URL>'''   ,   _lowercase      )
           SCREAMING_SNAKE_CASE__       :  List[str]						     =		self.content_repattera.sub('''<EMAIL>'''   ,   _lowercase      )
           SCREAMING_SNAKE_CASE__       :  Union[str, Any]						     =		self.content_repattera.sub('''<TEL>'''   ,   _lowercase      )
           SCREAMING_SNAKE_CASE__       :  Dict						     =		self.content_repattera.sub('''<DATE>'''   ,   _lowercase      )
           SCREAMING_SNAKE_CASE__       :  Optional[int]						     =		self.content_repattera.sub('''<DATE>'''   ,   _lowercase      )
           SCREAMING_SNAKE_CASE__       :  Optional[int]						     =		self.content_repattera.sub('''<PRICE>'''   ,   _lowercase      )
           SCREAMING_SNAKE_CASE__       :  Dict						     =		content.translate(self.content_transa      )
           while "<BLOCK><BLOCK>" in content:
                 SCREAMING_SNAKE_CASE__       :  Any						     =		content.replace('''<BLOCK><BLOCK>'''   ,   '''<BLOCK>'''      )
           return content







     def 							lowercase__       (						self :						Optional[int]   ,   _lowercase :						Tuple   ,   _lowercase :						Union[str, Any]=False      ):
           SCREAMING_SNAKE_CASE__       :  List[str]						     =		text.replace(''' '''   ,   '''<SP>'''      )
           SCREAMING_SNAKE_CASE__       :  int						     =		text.replace('''　'''   ,   '''<SP>'''      )
           SCREAMING_SNAKE_CASE__       :  int						     =		text.replace('''\r\n'''   ,   '''<BR>'''      )
           SCREAMING_SNAKE_CASE__       :  Dict						     =		text.replace('''\n'''   ,   '''<BR>'''      )
           SCREAMING_SNAKE_CASE__       :  Optional[Any]						     =		text.replace('''\r'''   ,   '''<BR>'''      )
           SCREAMING_SNAKE_CASE__       :  Any						     =		text.replace('''\t'''   ,   '''<TAB>'''      )
           SCREAMING_SNAKE_CASE__       :  List[str]						     =		text.replace('''—'''   ,   '''ー'''      )
           SCREAMING_SNAKE_CASE__       :  Dict						     =		text.replace('''−'''   ,   '''ー'''      )
           for k, v in self.emoji["emoji"].items():
                 if k in text:
                       SCREAMING_SNAKE_CASE__       :  Optional[Any]						     =		text.replace(_lowercase   ,   _lowercase      )
           if clean:
                 SCREAMING_SNAKE_CASE__       :  str						     =		self.clean_text(_lowercase      )

           def check_simbol(_lowercase :						int      ):
                 SCREAMING_SNAKE_CASE__       :  Optional[Any]						     =		x.encode()
                 if len(_lowercase      ) == 1 and len(_lowercase      ) == 2:
                       SCREAMING_SNAKE_CASE__       :  Any						     =		(int(e[0]      ) << 8) + int(e[1]      )
                       if (
                           (c >= 0Xc_2_a_1 and c <= 0Xc_2_b_f)
                           or (c >= 0Xc_7_8_0 and c <= 0Xc_7_8_3)
                           or (c >= 0Xc_a_b_9 and c <= 0Xc_b_b_f)
                           or (c >= 0Xc_c_8_0 and c <= 0Xc_d_a_2)
                       ):
                             return True
                 return False

           def checkuae(_lowercase :						List[Any]      ):
                 SCREAMING_SNAKE_CASE__       :  Optional[int]						     =		x.encode()
                 if len(_lowercase      ) == 1 and len(_lowercase      ) == 3:
                       SCREAMING_SNAKE_CASE__       :  Dict						     =		(int(e[0]      ) << 16) + (int(e[1]      ) << 8) + int(e[2]      )
                       if c >= 0Xe_2_8_0_8_0 and c <= 0Xe_2_b_0_7_f:
                             return True
                 return False

           SCREAMING_SNAKE_CASE__       :  Any						     =		0
           SCREAMING_SNAKE_CASE__       :  Optional[Any]						     =		[]
           while pos < len(_lowercase      ):
                 SCREAMING_SNAKE_CASE__       :  Union[str, Any]						     =		min(len(_lowercase      )   ,   pos + self.maxlen + 1      ) if text[pos] == '''<''' else pos + 3
                 SCREAMING_SNAKE_CASE__       :  Tuple						     =		[]  # (token_id, token, pos)
                 for e in range(_lowercase   ,   _lowercase   ,   -1      ):
                       SCREAMING_SNAKE_CASE__       :  List[Any]						     =		text[pos:e]
                       if wd in self.vocab:
                             if wd[0] == "<" and len(_lowercase      ) > 2:
                                   SCREAMING_SNAKE_CASE__       :  int						     =		[(self.vocab[wd], wd, e)]
                                   break
                             else:
                                   candidates.append((self.vocab[wd], wd, e)      )
                 if len(_lowercase      ) > 0:
                       # the smallest token_id is adopted
                       SCREAMING_SNAKE_CASE__     ,       SCREAMING_SNAKE_CASE__     ,       SCREAMING_SNAKE_CASE__       :  Dict						     =		sorted(_lowercase   ,   key=lambda _lowercase      : x[0]      )[0]
                       result.append(_lowercase      )
                       SCREAMING_SNAKE_CASE__       :  List[str]						     =		e
                 else:
                       SCREAMING_SNAKE_CASE__       :  Union[str, Any]						     =		pos + 1
                       SCREAMING_SNAKE_CASE__       :  Optional[Any]						     =		text[pos:end]
                       if check_simbol(_lowercase      ):
                             result.append('''<KIGOU>'''      )
                       elif checkuae(_lowercase      ):
                             result.append('''<U2000U2BFF>'''      )
                       else:
                             for i in wd.encode('''utf-8'''      ):
                                   result.append('''<|byte%d|>''' % i      )
                       SCREAMING_SNAKE_CASE__       :  Union[str, Any]						     =		end
           return result







     def 							lowercase__       (						self :						List[str]   ,   _lowercase :						Dict   ,   _lowercase :						int="\n"      ):
           SCREAMING_SNAKE_CASE__       :  Dict						     =		[]
           SCREAMING_SNAKE_CASE__       :  Optional[int]						     =		[]
           SCREAMING_SNAKE_CASE__       :  int						     =		self.ids_to_tokens[index][0]
           if word[:6] == "<|byte" and word[-2:] == "|>":
                 byte_tokens.append(int(word[6:-2]      )      )
           else:
                 if len(_lowercase      ) > 0:
                       words.append(bytearray(_lowercase      ).decode('''utf-8'''   ,   errors='''replace'''      )      )
                       SCREAMING_SNAKE_CASE__       :  List[str]						     =		[]
                 if word[:7] == "<|emoji" and word[-2:] == "|>":
                       words.append(self.emoji['''emoji_inv'''][word]      )
                 elif word == "<SP>":
                       words.append(''' '''      )
                 elif word == "<BR>":
                       words.append(_lowercase      )
                 elif word == "<TAB>":
                       words.append('''\t'''      )
                 elif word == "<BLOCK>":
                       words.append('''▀'''      )
                 elif word == "<KIGOU>":
                       words.append('''ǀ'''      )
                 elif word == "<U2000U2BFF>":
                       words.append('''‖'''      )
                 else:
                       words.append(_lowercase      )
           if len(_lowercase      ) > 0:
                 words.append(bytearray(_lowercase      ).decode('''utf-8'''   ,   errors='''replace'''      )      )
           SCREAMING_SNAKE_CASE__       :  List[Any]						     =		''''''.join(_lowercase      )
           return text








"""simple docstring"""






from typing import List, Optional, Union

from ...image_utils import ImageInput
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType



class 			lowercase					( lowercase__		):
			lowercase        =     ['''image_processor''', '''tokenizer''']
			lowercase        =     '''BlipImageProcessor'''
			lowercase        =     ('''BertTokenizer''', '''BertTokenizerFast''')






			def __init__(self  :	Any      ,SCREAMING_SNAKE_CASE_  :	List[str]      ,SCREAMING_SNAKE_CASE_  :	Optional[int]			)       ->	Dict:





				"""simple docstring"""


				lowerCAmelCase												=  False
				super().__init__(SCREAMING_SNAKE_CASE_      ,SCREAMING_SNAKE_CASE_			)
				lowerCAmelCase												=  self.image_processor






			def __call__(self  :	int      ,SCREAMING_SNAKE_CASE_  :	ImageInput = None      ,SCREAMING_SNAKE_CASE_  :	Union[TextInput, PreTokenizedInput, List[TextInput], List[PreTokenizedInput]] = None      ,SCREAMING_SNAKE_CASE_  :	bool = True      ,SCREAMING_SNAKE_CASE_  :	Union[bool, str, PaddingStrategy] = False      ,SCREAMING_SNAKE_CASE_  :	Union[bool, str, TruncationStrategy] = None      ,SCREAMING_SNAKE_CASE_  :	Optional[int] = None      ,SCREAMING_SNAKE_CASE_  :	int = 0      ,SCREAMING_SNAKE_CASE_  :	Optional[int] = None      ,SCREAMING_SNAKE_CASE_  :	Optional[bool] = None      ,SCREAMING_SNAKE_CASE_  :	bool = False      ,SCREAMING_SNAKE_CASE_  :	bool = False      ,SCREAMING_SNAKE_CASE_  :	bool = False      ,SCREAMING_SNAKE_CASE_  :	bool = False      ,SCREAMING_SNAKE_CASE_  :	bool = False      ,SCREAMING_SNAKE_CASE_  :	bool = True      ,SCREAMING_SNAKE_CASE_  :	Optional[Union[str, TensorType]] = None      ,**SCREAMING_SNAKE_CASE_  :	str      ,)       ->	BatchEncoding:





				"""simple docstring"""


				if images is None and text is None:
					raise ValueError('''You have to specify either images or text.'''			)

				# Get only text
				if images is None:
					lowerCAmelCase												=  self.tokenizer
					lowerCAmelCase												=  self.tokenizer(
					    text=SCREAMING_SNAKE_CASE_      ,add_special_tokens=SCREAMING_SNAKE_CASE_      ,padding=SCREAMING_SNAKE_CASE_      ,truncation=SCREAMING_SNAKE_CASE_      ,max_length=SCREAMING_SNAKE_CASE_      ,stride=SCREAMING_SNAKE_CASE_      ,pad_to_multiple_of=SCREAMING_SNAKE_CASE_      ,return_attention_mask=SCREAMING_SNAKE_CASE_      ,return_overflowing_tokens=SCREAMING_SNAKE_CASE_      ,return_special_tokens_mask=SCREAMING_SNAKE_CASE_      ,return_offsets_mapping=SCREAMING_SNAKE_CASE_      ,return_token_type_ids=SCREAMING_SNAKE_CASE_      ,return_length=SCREAMING_SNAKE_CASE_      ,verbose=SCREAMING_SNAKE_CASE_      ,return_tensors=SCREAMING_SNAKE_CASE_      ,**SCREAMING_SNAKE_CASE_      ,)
					return text_encoding

				# add pixel_values
				lowerCAmelCase												=  self.image_processor(SCREAMING_SNAKE_CASE_      ,return_tensors=SCREAMING_SNAKE_CASE_			)

				if text is not None:
					lowerCAmelCase												=  self.tokenizer(
					    text=SCREAMING_SNAKE_CASE_      ,add_special_tokens=SCREAMING_SNAKE_CASE_      ,padding=SCREAMING_SNAKE_CASE_      ,truncation=SCREAMING_SNAKE_CASE_      ,max_length=SCREAMING_SNAKE_CASE_      ,stride=SCREAMING_SNAKE_CASE_      ,pad_to_multiple_of=SCREAMING_SNAKE_CASE_      ,return_attention_mask=SCREAMING_SNAKE_CASE_      ,return_overflowing_tokens=SCREAMING_SNAKE_CASE_      ,return_special_tokens_mask=SCREAMING_SNAKE_CASE_      ,return_offsets_mapping=SCREAMING_SNAKE_CASE_      ,return_token_type_ids=SCREAMING_SNAKE_CASE_      ,return_length=SCREAMING_SNAKE_CASE_      ,verbose=SCREAMING_SNAKE_CASE_      ,return_tensors=SCREAMING_SNAKE_CASE_      ,**SCREAMING_SNAKE_CASE_      ,)
				else:
					lowerCAmelCase												=  None

				if text_encoding is not None:
					encoding_image_processor.update(SCREAMING_SNAKE_CASE_			)

				return encoding_image_processor






			def 					UpperCAmelCase							(self  :	List[str]      ,*SCREAMING_SNAKE_CASE_  :	str      ,**SCREAMING_SNAKE_CASE_  :	str			)       ->	Union[str, Any]:





				"""simple docstring"""


				return self.tokenizer.batch_decode(*SCREAMING_SNAKE_CASE_      ,**SCREAMING_SNAKE_CASE_			)






			def 					UpperCAmelCase							(self  :	List[Any]      ,*SCREAMING_SNAKE_CASE_  :	str      ,**SCREAMING_SNAKE_CASE_  :	Optional[int]			)       ->	Any:





				"""simple docstring"""


				return self.tokenizer.decode(*SCREAMING_SNAKE_CASE_      ,**SCREAMING_SNAKE_CASE_			)






			@property
			def 					UpperCAmelCase							(self  :	Dict			)       ->	Tuple:





				"""simple docstring"""


				lowerCAmelCase												=  self.tokenizer.model_input_names
				lowerCAmelCase												=  self.image_processor.model_input_names
				return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names			)			)


